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乳腺癌查使用表面温度反向建模和稳定状态热成像

Nithya Sritharan¹, Carlos Gutierrez², Isaac Perez-Raya^2,3

¹Department of Hematology-Oncology, Rochester Regional Health, Rochester, NY 14621, USA.

|June 27, 2024

概括

这项研究使用红外热学和反向建模来准确预测25名患者的乳腺癌. 该技术在非侵入性乳腺癌查方面显示出前途.

科学领域:

在瘤学瘤学.
生物医学工程生物医学工程
医疗成像医学成像

背景情况:

癌症表现出改变的代谢活动和血管性,导致恶性组织中明显的温度变化.
早期和准确的乳腺癌检测对于有效的治疗和改善患者结果至关重要.

研究的目的:

评估超高灵敏度热摄像机与反向建模相结合的疗效,用于预测恶性乳腺病变.
评估技术的准确性,无论瘤的特征,如大小,位置或乳腺密度.

主要方法:

包括乳腺样本检查异常或临床怀疑患有乳腺癌的患者,通过活检确认.
测量了表面温度使用一个超高灵敏度的热摄像头与倾斜定位.
基于传热原理的反向建模技术被用来预测瘤特征.

主要成果:

该技术准确地预测了分析的所有25种乳腺瘤.
瘤大小的最大预测误差低于5毫米,位置的最大预测误差低于1厘米.
预测准确性在不同的瘤大小,位置和乳腺密度中保持一致,对侧乳腺没有错误阳性.

结论:

红外温度分析与反向建模相结合,是预测乳腺癌的成功方法.
这种非侵入性方法显示出作为乳腺癌查方案的补充工具的巨大潜力.

关键词:

乳腺癌查乳腺癌查热量生成地图热量生成地图反向建模的反向建模基于物理学的神经网络.

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